Advanced Search
MyIDEAS: Login to save this article or follow this journal

The Bivariate Analysis Between The Variables That Define The Investigated Tourist Population In The Center Development Region And The Other Important Tourist Variables

Contents:

Author Info

  • Assist. Ph.D Kulcsár Erika

    (University “Babes-Bolyai”, Faculty of Economics and Business Administrations, Cluj Napoca, Romania)

Registered author(s):

    Abstract

    In the marketing research the instances when we need to examine the relationship between two variables are frequent. Knowing the relationship between the two variables involves the use of tests that can be parametric and nonparametric. This paper includes the non-parametric tests used in the bivariate analysis. The used tests are: chi square test, the Mann-Whitney test, the Kolmogorov-Smirnov test. Besides these tests, this paper also includes measuring the association between nominal variables using the C contingency coefficient and Cramer's V coefficient and between two metric variables, using the Pearson’s linear correlation coefficient.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://feaa.ucv.ro/RTE/014-15.pdf
    Download Restriction: no

    Bibliographic Info

    Article provided by University of Craiova, Faculty of Economics and Business Administration in its journal Revista Tinerior Economisti(The Young Economists Journal).

    Volume (Year): 1 (2010)
    Issue (Month): 14 (April)
    Pages: 110-117

    as in new window
    Handle: RePEc:aio:rteyej:v:1:y:2010:i:14:p:110-117

    Contact details of provider:
    Postal: Str. A.I. Cuza nr. 13, Craiova
    Phone: 004 0251 411317
    Fax: 004 0251 411317
    Email:
    Web page: http://feaa.ucv.ro/
    More information through EDIRC

    Related research

    Keywords: variables; Chi square test; U test; Kolmogorov-Smirnov test; Cramer's V contingency coefficient; Pearson's linear correlation coefficient;

    Find related papers by JEL classification:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:aio:rteyej:v:1:y:2010:i:14:p:110-117. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ionascu Costel).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.